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building <term> translation systems </term> for	new	<term> language pairs </term> or new <term> domains	#8050 This is particularly important when building translation systems for new language pairs or new domains.
</term> for new <term> language pairs </term> or	new	<term> domains </term> . This workshop is intended	#8054 This is particularly important when building translation systems for new language pairs or new domains.
features </term> into account . We introduce a	new	<term> method </term> for the <term> reranking	#8762 We introduce a new method for the reranking task, based on the boosting approach to ranking problems described in Freund et al. (1998).
included in the original <term> model </term> . The	new	<term> model </term> achieved 89.75 % <term>	#8836 The new model achieved 89.75% F-measure, a 13% relative decrease in F-measure error over the baseline model’s score of 88.2%.
of 88.2 % . The article also introduces a	new	<term> algorithm </term> for the <term> boosting	#8866 The article also introduces a new algorithm for the boosting approach which takes advantage of the sparsity of the feature space in the parsing data.
show significant efficiency gains for the	new	<term> algorithm </term> over the obvious <term>	#8894 Experiments show significant efficiency gains for the new algorithm over the obvious implementation of the boosting approach.
In our demonstration at <term> ACL </term> ,	new	<term> users </term> of our <term> tool </term>	#9909 In our demonstration at ACL, new users of our tool will drive a syntax-based decoder for themselves.
</term> . In this paper , we will present a	new	<term> evaluation measure </term> which explicitly	#10362 In this paper, we will present a new evaluation measure which explicitly models block reordering as an edit operation.
substitution costs </term> . The correlation of the	new	<term> measure </term> with <term> human judgment	#10409 The correlation of the new measure with human judgment has been investigated systematically on two different language pairs.
relative performances . We also introduce a	new	strategy , called <term> Begin/After tagging	#10844 We also introduce a new strategy, called Begin/After tagging or BIA, and show that it is competitive to the best other strategies.
the best other strategies . We introduce a	new	<term> interactive corpus exploration tool	#10868 We introduce a new interactive corpus exploration tool called InfoMagnets.
aspects of communication </term> ; that the	new	technology of powerful <term> personal computers	#12614 This paper defends that view, but claims that direct imitation of human performance is not the best way to implement many of these non-literal aspects of communication; that the new technology of powerful personal computers with integral graphics displays offers techniques superior to those of humans for these aspects, while still satisfying human communication needs.
uses these <term> patterns </term> to predict	new	inputs . <term> Error correction </term> is	#14011 A method for error correction of ill-formed input is described that acquires dialogue patterns in typical usage and uses these patterns to predict new inputs.
</term> occurs . In this paper we explore a	new	<term> theory of discourse structure </term>	#14086 In this paper we explore a new theory of discourse structure that stresses the role of purpose and processing in discourse.
to deliver it . The paper also promotes a	new	view for <term> extensional reference </term>	#14574 The paper also promotes a new view for extensional reference.
of the missing <term> fragments </term> . A	new	approach for <term> Interactive Machine Translation	#15639 A new approach for Interactive Machine Translation where the author interacts during the creation or the modification of the document is proposed.
translation process </term> . This paper presents a	new	<term> interactive disambiguation scheme </term>	#15713 This paper presents a new interactive disambiguation scheme based on the paraphrasing of a parser's multiple output.
to <term> learning </term> . We introduced a	new	<term> linguistic representation </term> ,	#15789 We introduced a new linguistic representation, the Dynamic Hierarchical Phrasal Lexicon (DHPL) [Zernik88], to facilitate language acquisition.
lexical hierarchy </term> is used in predicting	new	<term> linguistic concepts </term> . Thus ,	#15883 Second, we show in this paper how a lexical hierarchy is used in predicting new linguistic concepts.
recognition </term> . First , we present a	new	paradigm for <term> speaker-independent (	#16993 First, we present a new paradigm for speaker-independent (SI) training of hidden Markov models (HMM), which uses a large amount of speech from a few speakers instead of the traditional practice of using a little speech from many speakers.


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